多地探索“强网智控”助力新能源高效消纳
Xin Hua Cai Jing·2025-12-02 04:45

Core Insights - The rapid increase in new energy installation capacity necessitates measures to ensure green electricity can be generated, transmitted, and utilized effectively, which is crucial for building a new power system [1] Group 1: Technological Empowerment - Various regions are enhancing the grid's ability to manage new energy through digital and intelligent methods, improving precise perception and flexible control [2] - In Guangxi, the distributed photovoltaic capacity has doubled for two consecutive years, exceeding 1.44 million kilowatts, with innovative strategies implemented to address high penetration challenges [2] - The Southern Power Grid in Guangxi has introduced a distributed photovoltaic scheduling management module to enhance collaborative control capabilities [2] Group 2: Infrastructure Development - A robust grid structure is essential for the large-scale and long-distance transmission of new energy, with the Laishan 500 kV substation in Shandong set to support the transmission of 10 billion kilowatt-hours of green electricity annually by 2026 [4] - As of October, Shandong's new energy installation capacity reached 124.6 million kilowatts, with significant developments in the Yantai-Weihai region [4] - Sichuan is constructing an interconnected energy infrastructure network, with a ±800 kV high-voltage direct current project expected to transmit 40 billion kilowatt-hours annually [4] Group 3: Market Mechanism Innovation - Market mechanisms play a vital role in promoting green electricity consumption, with Guangxi's Guilin Power Supply Bureau facilitating long-term trading to stabilize electricity demand [5] - In Sichuan, expanding new energy application scenarios is crucial for local consumption, exemplified by a project that integrates photovoltaic power with agricultural facilities [5] - The project in Aba Prefecture utilizes solar energy to meet the energy needs of agricultural equipment, achieving 100% green energy usage and reducing carbon emissions [5]